Data Analysis Courses and Certifications

Microcredential

Applied Python Data Engineering

120 ratings at Coursera

Leverage big data for business strategy and AI using Python. Master data pipelines, platforms like Hadoop and Spark, and data visualization techniques. Ideal for engineers and data professionals.

• Coursera
• 20 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Experimental Design Basics

312 ratings at Coursera

Explore efficient experiment design and data analysis techniques. Learn to plan, conduct, and interpret experiments effectively using statistical methods and software tools for reliable results in various industries.

• Coursera
• 12 hours 22 minutes
• Self-Paced
• Paid Course

Applying Data Analytics in Marketing

200 ratings at Coursera

Explore data-driven marketing decisions through causal, survey, textual, and network analysis techniques. Learn to leverage customer satisfaction data for improved marketing strategies.

• Coursera
• 16 hours 14 minutes
• Self-Paced
• Paid Course

Microcredential

Computational Thinking with Beginning C Programming

433 ratings at Coursera

Explore computational thinking and C programming through practical problem-solving. Learn algorithms, data analysis, abstraction, and simulation while developing foundational coding skills.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

The Nuts and Bolts of Machine Learning

611 ratings at Coursera

Explore machine learning algorithms, from supervised to unsupervised techniques. Learn to apply models like Naive Bayes, decision trees, and K-means clustering to solve complex data problems and make predictions.

• Coursera
• 1 day 9 hours 53 minutes
• Self-Paced
• Paid Course

Introduction to R Programming for Data Science

614 ratings at Coursera

Learn R programming essentials for data science: data types, manipulation techniques, and fundamental tasks. Gain practical skills through hands-on exercises using RStudio and Jupyter notebooks for data analysis.

• Coursera
• 11 hours 38 minutes
• Self-Paced
• Paid Course

Microcredential

Health Information Literacy for Data Analytics

310 ratings at Coursera

Comprehensive program for data professionals to transition into healthcare analytics, covering data types, sources, challenges, and practical applications in the industry.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Microcredential

Programming for Python Data Science: Principles to Practice

96 ratings at Coursera

Master Python data science essentials from fundamentals to advanced modeling, working hands-on with NumPy, Pandas, and Matplotlib to build a complete data analysis skillset for creating impactful insights and visualizations.

• Coursera
• 16 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 5 courses

Data Manipulation and PCA (Principal Component Analysis )

108 ratings at Udemy

Learn essential data manipulation techniques and Principal Component Analysis, from handling missing values to computing correlation matrices and selecting components.

• Udemy
• 1 hour 10 minutes
• Self-Paced
• Free Online Course

MATLAB Crash Course for Beginners

7 reviews

Comprehensive introduction to MATLAB programming, covering essential concepts, data manipulation, visualization, and practical examples for engineers, scientists, and students.

• freeCodeCamp
• 1-2 hours
• Self-Paced
• Free Video

Python Programming Fundamentals

67 ratings at Coursera

Learn Python fundamentals, from algorithmic thinking to code testing. Develop problem-solving skills, master Python syntax, and apply your knowledge to analyze real-world data like heart rate information.

• Coursera
• 1 day 1 hour 11 minutes
• Self-Paced
• Paid Course

Teaching Impacts of Technology: Workplace of the Future

Explore how technology reshapes careers, workplace dynamics, and skill requirements. Learn about cloud computing, data science, and online job platforms while gaining insights into future work trends.

• Coursera
• 12 hours 32 minutes
• Self-Paced
• Paid Course

Capstone Project: Teaching Impacts of Technology

Prepare to teach AP Computer Science Principles by analyzing computing innovations, assessing student work, and creating your own project on technology's societal impacts.

• Coursera
• 6 hours 40 minutes
• Self-Paced
• Paid Course

Microcredential

Data Science

Gain insights from big data through mathematical and computational tools. Master Python, statistics, machine learning, and Apache Spark for data-driven decision-making and visualization.

• edX
• 40 weeks, 8-11 hours a week
• Self-Paced
• $1,400.00
• 3 courses

University of North Texas

Research Design: Inquiry and Discovery

460 ratings at Coursera

Explore systematic inquiry, question development, and research methods in social sciences. Learn conceptualization, literature review, sampling, and ethical considerations for effective problem-solving and decision-making.

• Coursera
• 10 hours 1 minute
• Self-Paced
• Paid Course